Text Classification
Transformers
Safetensors
smollm3
agent-safety
tool-calling
long-context
Eval Results (legacy)
Instructions to use ProCreations/auto-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProCreations/auto-3b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ProCreations/auto-3b")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ProCreations/auto-3b") model = AutoModelForSequenceClassification.from_pretrained("ProCreations/auto-3b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Release auto-3b (SmolLM3-3B-Base approve/deny classifier, 98.03% on Approve-or-Deny)
58323da verified Download benchmark_predictions.npz from ProCreations/auto-3b: direct link, hf CLI and curl.
- Browser
- Download file 72.8 kB
-
https://huggingface.co/ProCreations/auto-3b/resolve/main/benchmark_predictions.npz
- Command line
-
hf download hf://ProCreations/auto-3b/benchmark_predictions.npz
-
curl -L -o benchmark_predictions.npz https://huggingface.co/ProCreations/auto-3b/resolve/main/benchmark_predictions.npz
72.8 kB
- Xet hash:
- 21451fa2556f76154112f0addbfac0562a5ce08cb56e9cc5732f48b1514bf33a
- Size of remote file:
- 72.8 kB
- SHA256:
- 662d1b9aa5fd7eb1cba1e033f6aea7725c6000a5358362b75b55b22a71849c63
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